TY - DATA
T1 - Public Benchmark Dataset for Testing rPPG Algorithm Performance
PY - 2020/07/22
AU - Wouter Hoffman
AU - Daniel Lakens
UR - https://data.4tu.nl/articles/dataset/Public_Benchmark_Dataset_for_Testing_rPPG_Algorithm_Performance/12684059/1
DO - 10.4121/uuid:2ac74fbd-2276-44ad-aff1-2f68972b7b51
KW - PPGi
KW - Public benchmarking
KW - Remote photoplethysmography (rPPG)
KW - Reproducibility
N2 - The current needs in remote photoplethysmography (rPPG) research were investigated and it was concluded there is a lack of reproducibility and comparability in the current rPPG research. Three main challenges for rPPG algorithms were defined and incorporated in the dataset; lighting & skin tone, motion robustness and high heart rates & pulse-rate change robustness. Videos accompanied by ECG measurements were recorded to create test material for these challenges.
ER -